# AI use cases for Asobeast (AsoBeast/asobeast)

Repo: [AsoBeast/asobeast](https://github.com/AsoBeast/asobeast) | Use cases: 4 | Page: https://dedupedai.com/use-cases/asobeast-asobeast/

AsoBeast is an open source App Store Optimization tool and keyword rank tracker for the Apple App Store and Google Play, self-hosted with Docker or used as a hosted service.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Self-host a keyword rank tracker for your apps: https://dedupedai.com/use-cases/asobeast-asobeast/self-host-keyword-rank-tracker/
- Ask an AI agent which keywords moved this week: https://dedupedai.com/use-cases/asobeast-asobeast/query-aso-history-from-ai-agent/
- Find competitors and keyword gaps for an app: https://dedupedai.com/use-cases/asobeast-asobeast/find-competitors-and-keyword-gaps/
- Pick new storefronts to launch an app in: https://dedupedai.com/use-cases/asobeast-asobeast/choose-new-storefronts-for-an-app/

## How to self-host a keyword rank tracker for your apps with Asobeast

Repo: [AsoBeast/asobeast](https://github.com/AsoBeast/asobeast) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Run AsoBeast on your own server with Docker and track daily keyword ranks for an app.

**Who it is for:** An indie developer or small studio that wants ASO keyword tracking without a per keyword subscription and wants the data on its own machine.

**The problem:** Hosted ASO tools charge per keyword and hold your keyword list on their servers.

**The outcome:** A running AsoBeast instance on your machine that imports a store listing and starts tracking keyword positions daily.

### Steps

1. Run `git clone https://github.com/AsoBeast/asobeast.git` and then `cd asobeast`.
2. Create the secrets file with `printf 'POSTGRES_PASSWORD=%s\nAUTH_SECRET=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env` and then `chmod 600 .env`.
3. Start the stack with `docker compose up --build -d --wait`.
4. Open http://localhost:3001 in Chrome or Firefox and create the owner account.
5. Import an Apple App Store or Google Play URL and add the keywords you want tracked.

### Prompt to paste into your agent

```text
Using the asobeast repo at https://github.com/AsoBeast/asobeast, set up the Docker Compose stack, then import the store URL <store-url> for the target app. Report the app name and the number of keywords now tracked, and confirm the web UI loads at http://localhost:3001.
```

### Caveat

Store requests run from your own machine at a deliberately modest rate, so the tool suits a portfolio measured in apps rather than hundreds.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/asobeast-asobeast/self-host-keyword-rank-tracker/

## How to ask an AI agent which keywords moved this week with Asobeast

Repo: [AsoBeast/asobeast](https://github.com/AsoBeast/asobeast) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Connect Claude Code to your AsoBeast instance through MCP and query ASO history in plain language.

**Who it is for:** A developer or ASO owner who prefers asking questions in an agent over opening a dashboard.

**The problem:** Checking rank changes, competitor moves and Action Center items means clicking through several screens.

**The outcome:** An agent that answers questions about dropped keywords, competitor entries and prioritized ASO work from your own instance data.

### Steps

1. Sign in to your AsoBeast instance and create a personal API token on the settings page.
2. Run `claude mcp add --transport http asobeast https://your-host/api/backend/mcp --header "Authorization: Bearer asob_…"` with your host and token.
3. Start Claude Code and ask which keywords dropped this week.
4. Ask which competitor entered the top 10 and what the Action Center wants done first.

### Prompt to paste into your agent

```text
Using the AsoBeast MCP server from the repo https://github.com/AsoBeast/asobeast, list the keywords for <app-name> that dropped in rank this week and the top Action Center items. Output a short table of keyword, old rank, new rank, and one verification step: confirm each keyword appears in the tracked list before reporting it.
```

### Caveat

The README says the MCP server has 37 read tools and 7 opt-in tools that change data, so enable write tools only when you intend the agent to change keywords or competitors.

Risk, credentials: The personal API token gives the agent read access to your ASO data, so store it in your client configuration and do not paste it into shared chats.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/asobeast-asobeast/query-aso-history-from-ai-agent/

## How to find competitors and keyword gaps for an app with Asobeast

Repo: [AsoBeast/asobeast](https://github.com/AsoBeast/asobeast) | Difficulty: Beginner | Time: 30 minutes | Basis: From the README

Discover competitors from live search results and compare their listings with yours.

**Who it is for:** An ASO owner preparing a metadata update who needs to know which rivals rank for phrases the app misses.

**The problem:** Finding rivals and the keywords they own by hand across storefronts takes hours of manual searching.

**The outcome:** A list of competitors found from search results, a listing comparison and the keyword gaps to target.

### Steps

1. Import your app's store URL into AsoBeast and confirm the tracked keywords.
2. Open competitor discovery to find competitors from live search results.
3. Compare the listings of the competitors you select.
4. Review the keyword gaps and add the chosen phrases to tracking.

### Prompt to paste into your agent

```text
Using the AsoBeast instance at <your-host> built from https://github.com/AsoBeast/asobeast, find competitors for <app-name> and list the keyword gaps against your listing. Return the gap keywords with the competitor that ranks for each, and verify each gap keyword is not already in your tracked list.
```

### Caveat

Competitor tracking uses the same search requests as your own keywords, so the coverage is limited to the keywords and storefronts you track.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/asobeast-asobeast/find-competitors-and-keyword-gaps/

## How to pick new storefronts to launch an app in with Asobeast

Repo: [AsoBeast/asobeast](https://github.com/AsoBeast/asobeast) | Difficulty: Beginner | Time: 30 minutes | Basis: From the README

Let AsoBeast suggest markets that read your listing languages and seed them with your keywords.

**Who it is for:** A developer or small studio deciding which countries to expand into and how much a new market costs to track.

**The problem:** Choosing storefronts by guesswork wastes effort on markets whose language the listing does not ship in.

**The outcome:** A short list of storefronts that read your listing languages, with the daily request cost, and a seeded keyword list for the market you pick.

### Steps

1. Import the App Store or Google Play URL of the app.
2. Open market suggestions to see the storefronts that read the languages the listing ships.
3. Review the daily request cost shown for each suggested storefront.
4. Choose a market to seed it with the keywords of your own listing.

### Prompt to paste into your agent

```text
Using AsoBeast from https://github.com/AsoBeast/asobeast, list the storefront suggestions for <app-name> with the daily request cost for each. Return the top three markets and verify the suggested storefronts match the languages your listing ships.
```

### Caveat

Suggestions depend on the languages the listing already ships, so a market that needs new localized metadata will still require that work.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/asobeast-asobeast/choose-new-storefronts-for-an-app/